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Project 13 – Robotics & Human–Robot Interaction | Gautam Research
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Project 13 · Robotics & HRI

Robotics & Human–Robot Interaction (HRI)

This project explores how humans and robots work together—designing safe, intuitive, and explainable interaction between people and embodied AI systems in labs, factories, hospitals, homes, and public spaces.

Status: Active · Lab Research & Prototypes Focus: Collaboration, Interfaces, Safety Domains: Industry, Healthcare, Education, Service

Project Overview

The Robotics & Human–Robot Interaction (HRI) initiative focuses on how people perceive, control, and collaborate with robots. Rather than robots working in isolation, the project emphasizes shared spaces, shared goals, and shared understanding between humans and machines.

Current focus tracks:

  • Perception & interaction modelling so robots can interpret human actions, intent, and context.
  • Shared autonomy & assistance where robots help rather than fully replace human decision-making.
  • Interfaces & explainability using gestures, voice, displays, and cues that people can quickly understand.
Human–Robot Interaction Collaborative Robots Social Robotics Embodied AI

Objectives

  • Design robots that are safe, predictable, and transparent when working around people.
  • Reduce friction in interactions so non-experts can use advanced robots with minimal training.
  • Build reusable HRI modules that plug into different robot platforms and applications.
  • Study trust, workload, and usability to ensure deployments are human-centred, not just technically impressive.

Tech Stack & Methods

The project brings together sensing, control, interaction design, and evaluation:

  • Sensing: Cameras, depth sensors, microphones, touch/force sensors, and wearable inputs.
  • Perception & intent: Pose and gesture recognition, gaze estimation, speech/NLU, activity and intent modelling.
  • Control & planning: Motion planners for shared workspaces, compliant control, safety envelopes, and proxemics-aware navigation.
  • Interaction: Multimodal interfaces (voice, tablet, AR, lights, sounds) and explanation modules that tell users what the robot is doing and why.

Real-world Applications

  • Cobots that share benches or assembly lines with human workers in factories and labs.
  • Assistive robots in healthcare, elder care, and rehabilitation with careful safety and empathy design.
  • Educational and demonstration robots for classrooms, museums, and public spaces.
  • Service robots in logistics, retail, and hospitality that can navigate crowds and interact politely.

Ethics, Safety & Inclusion

The project emphasises inclusive, ethical design: safety by design, clear limits on autonomy, respect for privacy, and ensuring systems are usable by people with different abilities and backgrounds.

Task Efficiency
↑ Faster
Shared workflows help humans and robots complete tasks faster than either working alone.
User Comfort
↑ Comfort
Better interfaces and behaviour reduce anxiety and increase confidence around robotic systems.
Safety Outcomes
↓ Risk
Safety envelopes, monitoring, and training reduce hazardous situations in shared spaces.

Project Roadmap

Phase 0
Scenarios & Requirements
Phase I
Perception & Control
Phase II
HRI Prototypes
Phase III
In-situ Pilots
Phase IV
Toolkits & Platforms

Collaboration & FAQ

Who can collaborate on this project?
Robotics labs, manufacturers, startups, hospitals, factories, universities, and organisations interested in deploying robots that work alongside people rather than behind fences.
What kinds of robots are targeted?
Collaborative arms, mobile robots, simple service robots, and retrofitted platforms—especially those that operate near people or under human supervision and benefit from better interaction design.
Is this about replacing human workers?
No. The focus is on augmentation: helping people work more safely and effectively by offloading repetitive or high-risk actions to robots while keeping humans in control of goals and oversight.
How are ethics and safety handled?
Work includes safety cases, risk assessments, user studies, and explicit design guidelines for transparency, consent, and privacy in human–robot interactions.
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